Dataset: We evaluate our approach on the standard ILSVRC-2017 detection dataset [1]}. This dataset contains 200 object categories. For training, it includes 456,567 images and 478,807 bounding box annotations around object instances. The validation dataset contains 20,121 images fully annotated with the 200 object categories which include 55,502 object instances. A category hierarchy has been defined in [1]}, where some objects have multiple parents. Since, we also evaluate our approach on meta-class detection and tagging, we define a single parent for each category (see supplementary material for detail).
